AI / Control Intelligence Engineer
Location: Tallahassee, FL
Team: Control Intelligence & AI Systems
R-Materials is building a new class of energy infrastructure based on superconducting wire systems, AI-based online control, and SMES energy storage, unlocking performance levels that conventional power systems cannot reach. As global computing, AI, and energy demands accelerate, traditional copper-based infrastructure has reached its physical limits. We believe this moment demands a fundamentally different approach to how electricity is transmitted, controlled, and stored.
R-Materials is turning superconductivity into deployable, continuously operating infrastructure for data centers, energy systems, and critical facilities. If you are motivated by hard physical problems, real-world deployment, and the challenge of translating deep physics into operational systems, we’d love to hear from you.
The Role
As an AI / Control Intelligence Engineer, you will develop models and algorithms that help superconducting energy systems predict instability, detect anomalies, and respond intelligently to changing conditions. You will work alongside senior engineers and cross-functional teams to build, test, and deploy AI systems that operate continuously and safely in real-world environments. This role is ideal for engineers who want to grow expertise in applied AI, control systems, and time-series intelligence.
Key Responsibilities
• Develop and train machine learning models using time-series operational data
• Support anomaly detection, prediction, and control optimization pipelines
• Assist in integrating AI outputs into control and monitoring systems
• Collaborate with controls, embedded, and cloud teams on end-to-end system behavior
• Participate in validation, testing, and performance evaluation of models
• Contribute to documentation and model explainability efforts
• Follow best practices for reliability, safety, and observability
Qualifications
• Bachelor’s degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related STEM field
• 2–5 years of experience in machine learning, data science, or control-related roles
• Experience working with time-series data
• Proficiency in Python and common ML frameworks
• Strong analytical and problem-solving skills
• Ability to work collaboratively across disciplines
Nice to Have
• Exposure to control theory, optimization, or system dynamics
• Experience with energy systems, industrial data, or physical infrastructure
• Familiarity with simulation or modeling tools
• Interest in deploying AI beyond research environments
Export Compliance
This role may involve access to technologies subject to U.S. export control regulations.
Employment is contingent upon eligibility to comply with applicable export control laws.
Equal Opportunity
R-Materials is an Equal Opportunity Employer. Employment decisions are based on merit, competence, and qualifications, without regard to race, color, religion, gender, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status.
Employment Type
Full-time
Compensation
Base salary range: $120,000 – $155,000 + equity
Salary will be based on several factors, including experience, expertise, and role level.
Comprehensive benefits package includes:
• Competitive compensation with equity
• Paid time off and company holidays
• Medical, dental, and vision coverage
• Paid parental leave
• 401(k) and retirement benefits
• Professional growth and learning opportunities
If you don’t meet 100% of the preferred qualifications, we encourage you to apply.
Applied AI benefits from curiosity, rigor, and continuous learning.
Accessibility
If you need a reasonable accommodation during the application or interview process, please let us know.
# How to Apply
career@nouv.ai
Please send your resume to career@nouv.ai and include the job title “AI / Control Intelligence Engineer” in the subject line of your email.
